1. Inductive model evolved from data
Reactions of ensemble models differ where not trained well (training data present just in certain areas of the input space).
We can generate math formulas from inductive models but they are too complicated for complex data.
Better approach is to visualize their reactions.

2. Genetic algorithm locates interesting areas
in multi-dimensional input space
When model is too complicated its behavior can be visualized